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copilotkit__copilotkit/packages/shared/README.md
2026-08-05 11:55:44 -07:00

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# CopilotKit - Shared
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## ✨ Why CopilotKit?
- Minutes to integrate - Get started quickly with our CLI
- Framework agnostic - Works with React, Next.js, AGUI and more
- Production-ready UI - Use customizable components or build with headless UI
- Built-in security - Prompt injection protection
- Open source - Full transparency and community-driven
<img src="https://github.com/user-attachments/assets/6cb425f8-ffcb-49d2-9bbb-87cab5995b78" alt="class-support-ecosystem" style="border-radius: 12px; border: 2px solid #d6d4fa;">
## 🧑‍💻 Real life use cases
<span>Deploy deeply-integrated AI assistants & agents that work alongside your users inside your applications.</span>
<img src="https://github.com/user-attachments/assets/3b810240-e9f8-43ae-acec-31a58095e223" alt="headless-ui" style="border-radius: 12px; border: 2px solid #d6d4fa;">
## 🖥️ Code Samples
<span>Drop in these building blocks and tailor them to your needs.</span>
<h3>Build with Headless APIs and Pre-Built Components</h3>
```ts
// Headless UI with full control
const { visibleMessages, appendMessage, setMessages, ... } = useCopilotChat();
// Pre-built components with deep customization options (CSS + pass custom sub-components)
<CopilotPopup
instructions={"You are assisting the user as best as you can. Answer in the best way possible given the data you have."}
labels={{ title: "Popup Assistant", initial: "Need any help?" }}
/>
```
```ts
// Frontend actions + generative UI, with full streaming support
useCopilotAction({
name: "appendToSpreadsheet",
description: "Append rows to the current spreadsheet",
parameters: [
{ name: "rows", type: "object[]", attributes: [{ name: "cells", type: "object[]", attributes: [{ name: "value", type: "string" }] }] }
],
render: ({ status, args }) => <Spreadsheet data={canonicalSpreadsheetData(args.rows)} />,
handler: ({ rows }) => setSpreadsheet({ ...spreadsheet, rows: [...spreadsheet.rows, ...canonicalSpreadsheetData(rows)] }),
});
```
<h3>Integrate In-App CoAgents with LangGraph</h3>
```ts
// Share state between app and agent
const { agentState } = useCoAgent({
name: "basic_agent",
initialState: { input: "NYC" }
});
// agentic generative UI
useCoAgentStateRender({
name: "basic_agent",
render: ({ state }) => <WeatherDisplay {...state.final_response} />,
});
// Human in the Loop (Approval)
useCopilotAction({
name: "email_tool",
parameters: [
{
name: "email_draft",
type: "string",
description: "The email content",
required: true,
},
],
renderAndWaitForResponse: ({ args, status, respond }) => {
return (
<EmailConfirmation
emailContent={args.email_draft || ""}
isExecuting={status === "executing"}
onCancel={() => respond?.({ approved: false })}
onSend={() =>
respond?.({
approved: true,
metadata: { sentAt: new Date().toISOString() },
})
}
/>
);
},
});
```
```ts
// intermediate agent state streaming (supports both LangGraph.js + LangGraph python)
const modifiedConfig = copilotKitCustomizeConfig(config, {
emitIntermediateState: [
{
stateKey: "outline",
tool: "set_outline",
toolArgument: "outline",
},
],
});
const response = await ChatOpenAI({ model: "gpt-4o" }).invoke(
messages,
modifiedConfig,
);
```
## 🏆 Featured Examples
<p align="center">
<a href="https://www.copilotkit.ai/examples/form-filling-copilot">
<img src="https://github.com/user-attachments/assets/874da84a-67ff-47fa-a6b4-cbc3c65eb704" width="300" style="border-radius: 16px;" />
</a>
<a href="https://www.copilotkit.ai/examples/state-machine-copilot">
<img src="https://github.com/user-attachments/assets/0b5e45b3-2704-4678-82dc-2f3e1c58e2dd" width="300" style="border-radius: 16px;" />
</a>
<a href="https://www.copilotkit.ai/examples/chat-with-your-data">
<img src="https://github.com/user-attachments/assets/0fed66be-a4c2-4093-8eab-75c0b27a62f6" width="300" style="border-radius: 16px;" />
</a>
</p>
## Trusted Inspector metadata
`@copilotkit/shared` exports the versioned `InspectorMetadataV1` contract and
`parseInspectorMetadataV1()` parser. A Copilot Runtime can use this contract to
send project and license context to the Inspector:
```ts
interface InspectorMetadataV1 {
readonly schemaVersion: 1;
readonly identity?: {
readonly organizationName: string;
readonly projectName: string;
};
readonly plan?: { readonly code: string; readonly label: string };
readonly license?: {
readonly state: "valid" | "none" | "expired" | "unknown";
};
readonly action?:
| { readonly kind: "manage_plan"; readonly url: string }
| { readonly kind: "renew"; readonly url: string }
| { readonly kind: "enable_intelligence"; readonly url: string };
readonly usage?: {
readonly used: number;
readonly limit:
| { readonly kind: "finite"; readonly value: number }
| { readonly kind: "unlimited" }
| { readonly kind: "unknown" };
readonly expiringSoonCount?: number;
};
}
```
Every optional module is independent. The parser drops an invalid `identity`,
`plan`, `license`, `action`, or `usage` module without hiding valid sibling
modules. It returns `undefined` when the top-level value is not a plain object
with `schemaVersion: 1`.
Action URLs are treated as trusted navigation only after parsing. They must use
HTTPS, or HTTP on `localhost`, `127.0.0.1`, or `[::1]`; URLs with credentials, a
query string, or a fragment are rejected. Consumers use the accepted URL as
supplied and must not derive a destination from identity or plan values.
The optional `usage.expiringSoonCount` field lets V1 producers report a known
count. Older producers may omit it; absence remains valid V1 usage, while `0`
is a known count and stays distinct from absence. The parser drops a malformed,
inherited, or accessor-backed expiry leaf without removing `used`, `limit`, or
valid sibling modules. Older V1 consumers ignore the additive field, so
producers and consumers do not need a V2 schema or lock-step deployment.
`RuntimeInfo.inspectorMetadata?: boolean` is the capability signal. Clients only
request the optional metadata route when a runtime reports
`inspectorMetadata: true` in its runtime-info response.
# Documentation
To get started with CopilotKit, please check out the [documentation](https://docs.copilotkit.ai).